Simulation von Verbrennungsprozessen mit einem stochastischen Partikel-Modell
A new method for the simulation of combustion processes is developed that includes fluctuations. The simulation of reaction-diffusion-systems is extended by the variables temperature and velocity so that heat release by the chemical reactions as well as a flowfield can be represented. The model is based on a mesoscopic description of molecules in sub-volumes. The evolution of the system is determined by rates – probabilities over time – for the respective processes chemical reaction, diffusion, and flow. The time evolution of the probability of the system state is described by a Master-Equation which can be simulated with the minimal-process-method – a Monte-Carlo method. The auto-ignition of hydrogen with oxygen and methane with air is simulated to calculate the ignition delay time as a stochastic variable. For methane-air auto-ignition, the simulated ignition delay times are compared to shock tube experiments with satisfactory results. The transport processes are modeled and applied to two examples: equalization of a concentration difference by diffusion and a counterflow.
info:eu-repo/classification/ddc/620, Ingenieurwissenschaften
Networked Digital Library of Theses and Dissertations
Publikationsserver der RWTH Aachen University